Automatic Removal of Mechanical Fixations from CT Imagery with Particle Swarm Optimisation

Mohammad Hashem Ryalat, Stephen Laycock, Mark Fisher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
24 Downloads (Pure)


Fixation devices are used in radiotherapy treatment of head and neck cancers to ensure successive treatment fractions are accurately targeted. Typical fixations usually take the form of a custom made mask that is clamped to the treatment couch and these are evident in many CT data sets as radiotherapy treatment is normally planned with the mask in place. But the fixations can make planning more difficult for certain tumor sites and are often unwanted by third parties wishing to reuse the data. Manually editing the CT images to remove the fixations is time consuming and error prone. This paper presents a fast and automatic approach that removes artifacts due to fixations in CT images without
affecting pixel values representing tissue. The algorithm uses particle swarm optimisation to speed up the execution time and presents results from five CT data sets that show it achieves an average specificity of 92.01% and sensitivity of 99.39%.
Original languageEnglish
Title of host publicationBioinformatics and Biomedical Engineering
Subtitle of host publication5th International Work-Conference, IWBBIO 2017, Granada, Spain, April 26–28, 2017, Proceedings, Part I
Editors Ignacio Rojas, Francisco Ortuño
Number of pages13
ISBN (Electronic)978-3-319-56148-6
ISBN (Print)978-3-319-56147-9
Publication statusPublished - 2017
Event5th International Work-Conference: IWBBIO 2017 - Granada, Spain
Duration: 26 Apr 201728 Apr 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference5th International Work-Conference


  • Immobilization Mask
  • CT Images
  • Head and Neck Cancer

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